





'''simple docstring'''

import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate
@dataclass(frozen=__magic_name__					)
class 							__lowerCAmelCase	(       __magic_name__					):






       """simple docstring"""
       _snake_case      :	str									=       field(default='audio-classification'		,		metadata={'include_in_asdict_even_if_is_default': True}					)
       _snake_case      :	ClassVar[Features]									=       Features({'audio': Audio()}					)
       _snake_case      :	ClassVar[Features]									=       Features({'labels': ClassLabel}					)
       _snake_case      :	str									=       "audio"
       _snake_case      :	str									=       "labels"





       def snake_case__		(				self  :						Dict			,					lowerCAmelCase__  :						List[str]	)       ->	Any:

            '''simple docstring'''




            if self.label_column not in features:
                 raise ValueError(f"""Column {self.label_column} is not present in features."""	)
            if not isinstance(features[self.label_column]			,					lowerCAmelCase__	):
                 raise ValueError(f"""Column {self.label_column} is not a ClassLabel."""	)
            _UpperCamelCase							       =			copy.deepcopy(self	)
            _UpperCamelCase							       =			self.label_schema.copy()
            _UpperCamelCase							       =			features[self.label_column]
            _UpperCamelCase							       =			label_schema
            return task_template







       @property
       def snake_case__		(				self  :						int	)       ->	Dict[str, str]:

            '''simple docstring'''




            return {
                self.audio_column: "audio",
                self.label_column: "labels",
            }




'''simple docstring'''




from ....configuration_utils import PretrainedConfig
from ....utils import logging


__UpperCAmelCase					=logging.get_logger(__name__)

__UpperCAmelCase					={
    "Visual-Attention-Network/van-base": (
        "https://huggingface.co/Visual-Attention-Network/van-base/blob/main/config.json"
    ),
}




class        a__ (  UpperCAmelCase__					):
     lowerCamelCase    :	Optional[Any]				="van"






     def __init__(					self						:						Union[str, Any]    ,							a						:						List[Any]=2_24    ,							a						:						Optional[int]=3    ,							a						:						Optional[Any]=[7, 3, 3, 3]    ,							a						:						int=[4, 2, 2, 2]    ,							a						:						Optional[int]=[64, 1_28, 3_20, 5_12]    ,							a						:						str=[3, 3, 12, 3]    ,							a						:						str=[8, 8, 4, 4]    ,							a						:						int="gelu"    ,							a						:						int=0.02    ,							a						:						Optional[int]=1e-6    ,							a						:						List[str]=1e-2    ,							a						:						Union[str, Any]=0.0    ,							a						:						int=0.0    ,							**a						:						Optional[Any]    ,							):





         """simple docstring"""



         super().__init__(**a       )
         __lowerCamelCase            =    image_size
         __lowerCamelCase            =    num_channels
         __lowerCamelCase            =    patch_sizes
         __lowerCamelCase            =    strides
         __lowerCamelCase            =    hidden_sizes
         __lowerCamelCase            =    depths
         __lowerCamelCase            =    mlp_ratios
         __lowerCamelCase            =    hidden_act
         __lowerCamelCase            =    initializer_range
         __lowerCamelCase            =    layer_norm_eps
         __lowerCamelCase            =    layer_scale_init_value
         __lowerCamelCase            =    drop_path_rate
         __lowerCamelCase            =    dropout_rate
